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Salary
≈ $7k – $18k per year (Estimated)
Location
In office (Giza)
Seniority
Junior

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 21, 2026. Vodacom Mozambique scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Vodacom Moçambique is a telecommunications operator and mobile financial services provider. The company offers prepaid and postpaid mobile voice and data connectivity, broadband services, enterprise IT and telecom solutions, and the M-Pesa mobile money platform for digital payments, transfers, and financial inclusion services. Headquartered in Maputo, Mozambique, the enterprise serves individual consumers, small businesses, and corporate clients across the country.

Together We Can

Discover global graduate program is a 12 month program to accelerated development that enables talented fresh graduates to develop and grow within Vodafone Egypt. Ultimately these extraordinary graduates become Vodafone’s future leaders through; customized job rotations in the Technology - Data Intelligencedepartment, challenging business exposure, continuous learning journey/development, & corporate networking.

Who can apply?

Fresh graduates with an outstanding academic record (Fresh Grads: any graduates of the year 2025, or 2026 or January 2027, as for males who completed their military service either in 2024 or 2025

A fresh graduate with diverse extracurricular & internship experiences

We are looking for candidates with a strong background in Machine Learning and Data Analytics, with a primary focus on AI, Generative AI, and Agentic AI.

Qualifications:

  • Strong knowledge of Machine Learning algorithms, statistical modeling, and data analysis techniques.
  • Hands-on experience with data preprocessing, feature engineering, model training, evaluation, and optimization.
  • Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and preferably PyTorch or TensorFlow.
  • Good understanding of data analytics, statistical analysis, data visualization, and extracting actionable insights from data.
  • Knowledge of LLMs, Generative AI, and Agentic AI systems.
  • Understanding of AI agents, tool/function calling, multi-step reasoning, and workflow orchestration.
  • Familiarity with frameworks such as LangChain, LangGraph, or similar tools.
  • Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
  • Experience working with APIs, databases, and data processing pipelines.

Preferred Skills:

  • Hands-on experience developing AI agents or multi-agent systems and integrating them with external tools and enterprise systems.
  • Familiarity with AI model evaluation, monitoring, deployment, and performance optimization.
  • Strong analytical thinking, problem-solving, and communication skills.
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